Lesson Overview

Hello and welcome! In today's lesson, we will be comparing Simple Moving Average (SMA) and Exponential Moving Average (EMA) using Tesla ($TSLA) stock data. This lesson will help you revise how to handle financial data with Pandas, calculate both SMA and EMA, and create visualizations to understand and compare these technical indicators.

Goal: By the end of this lesson, you will be able to load financial data, compute SMA and EMA, and visualize these indicators to make informed trading decisions.

Lesson Plan:

  1. Loading and Preparing the Dataset
  2. Calculating and Comparing SMA and EMA
  3. Subsetting the Data for Visualization
  4. Plotting SMA and EMA for Comparison
Loading and Preparing the Dataset

Let's start by loading the Tesla dataset and preparing it for analysis. We will convert the 'Date' column to datetime format and set it as the index.

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